Dynamics of bar growth using remote sensing data

被引：0
|
作者：
Hossain, M.M. [1 ]
Hasan, M.K. [1 ]
Mukto, M.A. [1 ]
机构：
[1] Dept. of Water Resources Eng., Bangladesh Univ. of Eng./Tech., Dhaka 1000, Bangladesh
来源：
IAHS-AISH Publication | 2000年 / 267期
关键词：
Database systems - Geographic information systems - Hydrology - Morphology - Remote sensing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The dynamics of bar growth in alluvial rivers may be studied using remote sensing and hydrological data. Results of a study conducted to examine the morphological features of two characteristic bars of the Jamuna River in Bangladesh for the period from 1973 to 1997 based on PC ARC/INFO and Arc View GIS are presented. The study revealed that the area, average width and average length of the selected bar had an overall diminishing trend. A comparison of the common bar area in 1997 with that of 1973 showed the existing bar area reduces to about 2.5%. The study showed that the inundation of the selected bars increased from 271 ha to 418 ha due to a change in water level from 7.33 m to 9.05 m, whereas it increased from 418 ha to 2218 ha with a rise of water level from 9.05 m to 12.07 m. When the water level was at 17.5 m, the bars were completely submerged.
引用
收藏
页码：498 / 500
相关论文
共 50 条
  • [21] UTILITY OF DATA REMOTE SENSING FOR URBAN DYNAMICS INDICATOR CREATION
    Langr, Jan
    Kamenicky, Jan
    Silhankova, Vladimira
    Pondelicek, Michael
    Struha, Pavel
    18TH INTERNATIONAL COLLOQUIUM ON REGIONAL SCIENCES, 2015, : 587 - 595
  • [22] Embedding remote sensing data in models for forest carbon dynamics
    Quegan, S
    Le Toan, T
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON RETRIEVAL OF BIO- AND GEOPHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS, 2002, 475 : 215 - 220
  • [23] Using remote sensing to research Beijing wetlands dynamics
    ZHAO Wenji
    Northeast Institute of Geography and Agroecology
    College of Resources Science and Technology
    Science China Technological Sciences, 2006, (S2) : 97 - 107
  • [24] Using remote sensing to research Beijing wetlands dynamics
    Zhao Wenji
    Gong Zhaoning
    Gong Huili
    Li Xiaojuan
    Zhang Songmei
    Jing, Li
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2006, : 97 - 107
  • [25] Assessment of landuse/landcover dynamics of Kaduna watershed, using remote sensing data and GIS techniques
    Daramola, J.
    Lam, K. C.
    Ekhwan, T. M.
    Mokhtar, J.
    Salihu, Y. M.
    Babayahaya, A. M.
    Alakeji, J. A.
    GEOGRAFIA-MALAYSIAN JOURNAL OF SOCIETY & SPACE, 2022, 18 (02): : 32 - 47
  • [26] Determining dynamics of the Kara Sea coasts using remote sensing and UAV data: A case study
    Novikova, A., V
    Vergun, A. P.
    Zelenin, E. A.
    Baranskaya, A., V
    Ogorodov, S. A.
    RUSSIAN JOURNAL OF EARTH SCIENCES, 2021, 21 (03):
  • [27] Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning
    Bellam, Pavan Kumar
    Gumma, Murali Krishna
    Panjala, Pranay
    Mohammed, Ismail
    Suzuki, Aya
    AGRIENGINEERING, 2023, 5 (03): : 1432 - 1447
  • [28] Deforestation pattern dynamics in protected areas of the Brazilian Legal Amazon using remote sensing data
    Cabral, Ana I. R.
    Saito, Carlos
    Pereira, Henrique
    Laques, Anne Elisabeth
    APPLIED GEOGRAPHY, 2018, 100 : 101 - 115
  • [29] Examining the Dynamics of Vegetation in South Korea: An Integrated Analysis Using Remote Sensing and In Situ Data
    Pradhan, Biswajeet
    Yoon, Sungsoo
    Lee, Sanghun
    REMOTE SENSING, 2024, 16 (02)
  • [30] Mapping the Anapa bay bar geosystems on the basis of satellite remote sensing and ground data
    Kravtsova, Valentina I.
    Tutubalina, Olga V.
    Krylenko, Vyacheslav V.
    Krylenko, Marina V.
    Chalova, Ekaterina R.
    THIRD INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2015), 2015, 9535
12345